Muhammed Saad Zaveri
@muhammedsaadzaveri
AI & data science builder blending full-stack engineering with LLM workflows to ship secure, intelligent SaaS.
What I'm looking for
I’m an AI Generalist with hands-on experience bridging full-stack web development and artificial intelligence. I’ve architected scalable applications using Next.js, TypeScript, and Python, and I’m especially focused on integrating LLM workflows like RAG pipelines and multi-agent systems into modern SaaS platforms.
As an independent contractor, I evaluated frontier AI systems for real-world search and complex multi-step reasoning—doing deep-dive factuality and quality assessments, identifying failure modes, and creating structured technical rationales to benchmark model performance. In my projects, I built Synapse-AI-Arena with Scikit-Learn, XGBoost, and Streamlit for real-time exploration of 100K+ samples, and I engineered SideKick, a browser-based code editor using Next.js, Convex, WebContainers, and the Vercel AI SDK with Inngest workflows plus secure real-time collaboration. I also developed AskRCOE, a multimodal assistant using LangChain and LangGraph for RAG pipelines with 99.2% retrieval accuracy, including FAISS indexing for sub-second retrieval and voice features across 15+ languages.
Experience
Work history, roles, and key accomplishments
AI Generalist Expert
Mercor.io
Mar 2026 - May 2026 (2 months)
Evaluated and refined frontier AI systems for real-world search and complex multi-step reasoning tasks. Conducted factuality and quality assessments of AI responses and developed rationales to benchmark recurring failure modes and edge cases.
Education
Degrees, certifications, and relevant coursework
Rizvi College of Engineering
Bachelor of Engineering, Artificial Intelligence and Data Science
Pursuing a Bachelor of Engineering in Artificial Intelligence and Data Science at Rizvi College of Engineering (expected completion in 2027).
Rizvi College of Engineering
Minor, Cybersecurity
Completed a minor in Cybersecurity alongside the Bachelor of Engineering program (expected completion in 2027).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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